Attack detection design for dc microgrid using eigenvalue assignment approach

Sen Tan*, Peilin Xie, Josep M. Guerrero, Juan C. Vasquez, Yunlu Li, Xifeng Guo

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

20 Citations (Scopus)
74 Downloads (Pure)


DC microgrids (MGs) are complex systems connecting a number of renewable energy sources to different types of loads based on distributed networks. However, the strong reliance on communication networks makes DC MGs vulnerable to intentional cyber-attacks. In this paper, a distributed attack detection scheme is presented for the DC MG system by proposing an observer. The proposed detector is able to detect attacks with only local knowledge of the overall DC microgrid system. By eigenvalue assignment method, the designed residual is decoupled from both load and neighbor voltage changes. Furthermore, an optimization problem is provided to increase the attack detectability of the proposed observer. The presented method is easy to design with less computation complexity. The performances of the proposed scheme are validated by numerical simulations and experiments.

Original languageEnglish
JournalEnergy Reports
Pages (from-to)469-476
Number of pages8
Publication statusPublished - Apr 2021

Bibliographical note

Funding Information:
This work was supported by VILLUM FONDEN , Center for Research on Microgrids, Aalborg University, Denmark, under the VILLUM Investigator Grant 25920 .

Publisher Copyright:
© 2021 The Author(s)

Copyright 2021 Elsevier B.V., All rights reserved.


  • Attack detection
  • Cyber-attacks
  • Distributed DC microgrids
  • Observer
  • Residual


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